An online system for visualising audio-and score based features
A few weeks ago, Prof. Ching-Hua Chuan (University of North Florida) presented a system that we have developed together called IMMA at the IEEE International Conference on Semantic Computing in San Diego. IMMA is a multi-modal interface that shows both audio and score-based features of a performance and score in sync. The current version implements a module for tension, different modules are expected to be implemented soon. Check out a demo or read more.
Herremans D., Chuan C.-H.. 2017. A multi-modal platform for semantic music analysis: visualizing audio- and score-based tension. 11th International Conference on Semantic Computing IEEE ICSC 2017. San Diego, January, 2017.
Contact me if you are interested in developing a new module for IMMA.